DataX操作MySQL

一、從MySQL讀取

介紹

MysqlReader插件實現了從Mysql讀取數據。在底層實現上，MysqlReader通過JDBC連接遠程Mysql數據庫，並執行相應的sql語句將數據從mysql庫中SELECT出來。
不同於其他關系型數據庫，MysqlReader不支持FetchSize.

實現原理

簡而言之，MysqlReader通過JDBC連接器連接到遠程的Mysql數據庫，並根據用戶配置的信息生成查詢SELECT SQL語句，然后發送到遠程Mysql數據庫，並將該SQL執行返回結果使用DataX自定義的數據類型拼裝為抽象的數據集，並傳遞給下游Writer處理。
對於用戶配置Table、Column、Where的信息，MysqlReader將其拼接為SQL語句發送到Mysql數據庫；對於用戶配置querySql信息，MysqlReader直接將其發送到Mysql數據庫。

json如下

{
    "job": {
        "setting": {
            "speed": {
                "channel": 3
            },
            "errorLimit": {
                "record": 0,
                "percentage": 0.02
            }
        },
        "content": [{
            "reader": {
                "name": "mysqlreader",
                "parameter": {
                    "username": "root",
                    "password": "123456",
                    "column": [
                        "id",
                        "name"
                    ],
                    "splitPk": "id",
                    "connection": [{
                        "table": [
                            "datax_test"
                        ],
                        "jdbcUrl": [
                            "jdbc:mysql://192.168.1.123:3306/test"
                        ]
                    }]
                }
            },
            "writer": {
                "name": "streamwriter",
                "parameter": {
                    "print": true
                }
            }
        }]
    }
}

參數說明--jdbcUrl

描述：描述的是到對端數據庫的JDBC連接信息，使用JSON的數組描述，並支持一個庫填寫多個連接地址。之所以使用JSON數組描述連接信息，是因為阿里集團內部支持多個IP探測，如果配置了多個，MysqlReader可以依次探測ip的可連接性，直到選擇一個合法的IP。如果全部連接失敗，MysqlReader報錯。注意，jdbcUrl必須包含在connection配置單元中。對於阿里集團外部使用情況，JSON數組填寫一個JDBC連接即可。
jdbcUrl按照Mysql官方規范，並可以填寫連接附件控制信息。
必選：是
默認值：無
--username
描述：數據源的用戶名
必選：是
默認值：無
--password
描述：數據源指定用戶名的密碼
必選：是
默認值：無
--table
描述：所選取的需要同步的表。使用JSON的數組描述，因此支持多張表同時抽取。當配置為多張表時，用戶自己需保證多張表是同一schema結構，MysqlReader不予檢查表是否同一邏輯表。注意，table必須包含在connection配置單元中。
必選：是
默認值：無
--column
描述：所配置的表中需要同步的列名集合，使用JSON的數組描述字段信息。用戶使用*代表默認使用所有列配置，例如['*']。
支持列裁剪，即列可以挑選部分列進行導出。
支持列換序，即列可以不按照表schema信息進行導出。
支持常量配置，用戶需要按照Mysql SQL語法格式: ["id", "`table`", "1", "'bazhen.csy'", "null", "to_char(a + 1)", "2.3" , "true"] id為普通列名，`table`為包含保留在的列名，1為整形數字常量，'bazhen.csy'為字符串常量，null為空指針，to_char(a + 1)為表達式，2.3為浮點數，true為布爾值。
必選：是
默認值：無
--splitPk
描述：MysqlReader進行數據抽取時，如果指定splitPk，表示用戶希望使用splitPk代表的字段進行數據分片，DataX因此會啟動並發任務進行數據同步，這樣可以大大提供數據同步的效能。
推薦splitPk用戶使用表主鍵，因為表主鍵通常情況下比較均勻，因此切分出來的分片也不容易出現數據熱點。
-- 目前splitPk僅支持整形數據切分，不支持浮點、字符串、日期等其他類型。如果用戶指定其他非支持類型，MysqlReader將報錯！
--如果splitPk不填寫，包括不提供splitPk或者splitPk值為空，DataX視作使用單通道同步該表數據。
必選：否
默認值：空
--where
描述：篩選條件，MysqlReader根據指定的column、table、where條件拼接SQL，並根據這個SQL進行數據抽取。在實際業務場景中，往往會選擇當天的數據進行同步，可以將where條件指定為gmt_create > $bizdate 。注意：不可以將where條件指定為limit 10，limit不是SQL的合法where子句。
where條件可以有效地進行業務增量同步。如果不填寫where語句，包括不提供where的key或者value，DataX均視作同步全量數據。
必選：否
默認值：無
--querySql
描述：在有些業務場景下，where這一配置項不足以描述所篩選的條件，用戶可以通過該配置型來自定義篩選SQL。當用戶配置了這一項之后，DataX系統就會忽略table，column這些配置型，直接使用這個配置項的內容對數據進行篩選，例如需要進行多表join后同步數據，使用select a,b from table_a join table_b on table_a.id = table_b.id
當用戶配置querySql時，MysqlReader直接忽略table、column、where條件的配置，querySql優先級大於table、column、where選項。
必選：否
默認值：無

mysqlreader類型轉換表

請注意:
--除上述羅列字段類型外，其他類型均不支持。
--tinyint(1) DataX視作為整形。
--year DataX視作為字符串類型
--bit DataX屬於未定義行為。

執行

FengZhendeMacBook-Pro:bin FengZhen$ ./datax.py /Users/FengZhen/Desktop/Hadoop/dataX/json/mysql/reader_all.json

DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.


2018-11-18 16:22:04.599 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2018-11-18 16:22:04.612 [main] INFO Engine - the machine info =>

osInfo:    Oracle Corporation 1.8 25.162-b12
jvmInfo:    Mac OS X x86_64 10.13.4
cpu num:    4

totalPhysicalMemory:    -0.00G
freePhysicalMemory:    -0.00G
maxFileDescriptorCount:    -1
currentOpenFileDescriptorCount:    -1

GC Names    [PS MarkSweep, PS Scavenge]

MEMORY_NAME | allocation_size | init_size 
PS Eden Space | 256.00MB | 256.00MB 
Code Cache | 240.00MB | 2.44MB 
Compressed Class Space | 1,024.00MB | 0.00MB 
PS Survivor Space | 42.50MB | 42.50MB 
PS Old Gen | 683.00MB | 683.00MB 
Metaspace | -0.00MB | 0.00MB


2018-11-18 16:22:04.638 [main] INFO Engine - 
{
"content":[
{
"reader":{
"name":"mysqlreader",
"parameter":{
"column":[
"id",
"name"
],
"connection":[
{
"jdbcUrl":[
"jdbc:mysql://192.168.1.123:3306/test"
],
"table":[
"datax_test"
]
}
],
"password":"******",
"splitPk":"id",
"username":"root"
}
},
"writer":{
"name":"streamwriter",
"parameter":{
"print":true
}
}
}
],
"setting":{
"errorLimit":{
"percentage":0.02,
"record":0
},
"speed":{
"channel":3
}
}
}

2018-11-18 16:22:04.673 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2018-11-18 16:22:04.678 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2018-11-18 16:22:04.678 [main] INFO JobContainer - DataX jobContainer starts job.
2018-11-18 16:22:04.681 [main] INFO JobContainer - Set jobId = 0
2018-11-18 16:22:05.323 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true.
2018-11-18 16:22:05.478 [job-0] INFO OriginalConfPretreatmentUtil - table:[datax_test] has columns:[id,name].
2018-11-18 16:22:05.490 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2018-11-18 16:22:05.491 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do prepare work .
2018-11-18 16:22:05.492 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do prepare work .
2018-11-18 16:22:05.493 [job-0] INFO JobContainer - jobContainer starts to do split ...
2018-11-18 16:22:05.493 [job-0] INFO JobContainer - Job set Channel-Number to 3 channels.
2018-11-18 16:22:05.618 [job-0] INFO SingleTableSplitUtil - split pk [sql=SELECT MIN(id),MAX(id) FROM datax_test] is running... 
2018-11-18 16:22:05.665 [job-0] INFO SingleTableSplitUtil - After split(), allQuerySql=[
select id,name from datax_test where (1 <= id AND id < 2) 
select id,name from datax_test where (2 <= id AND id < 3) 
select id,name from datax_test where (3 <= id AND id < 4) 
select id,name from datax_test where (4 <= id AND id <= 5) 
select id,name from datax_test where id IS NULL
].
2018-11-18 16:22:05.666 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] splits to [5] tasks.
2018-11-18 16:22:05.667 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] splits to [5] tasks.
2018-11-18 16:22:05.697 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2018-11-18 16:22:05.721 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2018-11-18 16:22:05.744 [job-0] INFO JobContainer - Running by standalone Mode.
2018-11-18 16:22:05.758 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [3] channels for [5] tasks.
2018-11-18 16:22:05.765 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2018-11-18 16:22:05.766 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2018-11-18 16:22:05.790 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2018-11-18 16:22:05.795 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[1] attemptCount[1] is started
2018-11-18 16:22:05.796 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (1 <= id AND id < 2) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:22:05.796 [0-0-1-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (2 <= id AND id < 3) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:22:05.820 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[2] attemptCount[1] is started
2018-11-18 16:22:05.821 [0-0-2-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (3 <= id AND id < 4) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:22:05.981 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (1 <= id AND id < 2) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
1    test1
2018-11-18 16:22:06.030 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[241]ms
2018-11-18 16:22:06.033 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[3] attemptCount[1] is started
2018-11-18 16:22:06.034 [0-0-3-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (4 <= id AND id <= 5) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:22:06.041 [0-0-2-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (3 <= id AND id < 4) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
3    test3
2018-11-18 16:22:06.137 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[2] is successed, used[326]ms
2018-11-18 16:22:06.139 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[4] attemptCount[1] is started
2018-11-18 16:22:06.139 [0-0-4-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where id IS NULL
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:22:06.157 [0-0-1-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (2 <= id AND id < 3) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2    test2
2018-11-18 16:22:06.243 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[1] is successed, used[449]ms
2018-11-18 16:22:11.295 [0-0-3-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (4 <= id AND id <= 5) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
4    test4
5    test5
2018-11-18 16:22:11.393 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[3] is successed, used[5360]ms
2018-11-18 16:22:15.784 [job-0] INFO StandAloneJobContainerCommunicator - Total 0 records, 0 bytes | Speed 0B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 0.00%
2018-11-18 16:22:25.166 [0-0-4-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where id IS NULL
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:22:25.413 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[4] is successed, used[19274]ms
2018-11-18 16:22:25.417 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2018-11-18 16:22:25.786 [job-0] INFO StandAloneJobContainerCommunicator - Total 5 records, 30 bytes | Speed 3B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2018-11-18 16:22:25.786 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2018-11-18 16:22:25.787 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do post work.
2018-11-18 16:22:25.788 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do post work.
2018-11-18 16:22:25.788 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2018-11-18 16:22:25.791 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /Users/FengZhen/Desktop/Hadoop/dataX/datax/hook
2018-11-18 16:22:25.796 [job-0] INFO JobContainer - 
[total cpu info] => 
averageCpu | maxDeltaCpu | minDeltaCpu 
-1.00% | -1.00% | -1.00%
[total gc info] => 
NAME | totalGCCount | maxDeltaGCCount | minDeltaGCCount | totalGCTime | maxDeltaGCTime | minDeltaGCTime 
PS MarkSweep | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s 
PS Scavenge | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s

2018-11-18 16:22:25.797 [job-0] INFO JobContainer - PerfTrace not enable!
2018-11-18 16:22:25.798 [job-0] INFO StandAloneJobContainerCommunicator - Total 5 records, 30 bytes | Speed 1B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2018-11-18 16:22:25.799 [job-0] INFO JobContainer - 
任務啟動時刻 : 2018-11-18 16:22:04
任務結束時刻 : 2018-11-18 16:22:25
任務總計耗時 : 21s
任務平均流量 : 1B/s
記錄寫入速度 : 0rec/s
讀出記錄總數 : 5
讀寫失敗總數 : 0

在控制台可看到結果輸出

二、從MySQL按條件讀取數據

json如下

{
    "job": {
        "setting": {
            "speed": {
                "channel": 1
            }
        },
        "content": [{
            "reader": {
                "name": "mysqlreader",
                "parameter": {
                    "username": "root",
                    "password": "123456",
                    "connection": [{
                        "querySql": [
                            "select * from datax_test where id < 3;"
                        ],
                        "jdbcUrl": [
                            "jdbc:mysql://bad_ip:3306/database",
                            "jdbc:mysql://127.0.0.1:bad_port/database",
                            "jdbc:mysql://192.168.1.123:3306/test"
                        ]
                    }]
                }
            },
            "writer": {
                "name": "streamwriter",
                "parameter": {
                    "print": true,
                    "encoding": "UTF-8"
                }
            }
        }]
    }
}

執行

FengZhendeMacBook-Pro:bin FengZhen$ ./datax.py /Users/FengZhen/Desktop/Hadoop/dataX/json/mysql/reader_select.json

DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.


2018-11-18 16:31:20.508 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2018-11-18 16:31:20.521 [main] INFO Engine - the machine info =>

osInfo:    Oracle Corporation 1.8 25.162-b12
jvmInfo:    Mac OS X x86_64 10.13.4
cpu num:    4

totalPhysicalMemory:    -0.00G
freePhysicalMemory:    -0.00G
maxFileDescriptorCount:    -1
currentOpenFileDescriptorCount:    -1

GC Names    [PS MarkSweep, PS Scavenge]

MEMORY_NAME | allocation_size | init_size 
PS Eden Space | 256.00MB | 256.00MB 
Code Cache | 240.00MB | 2.44MB 
Compressed Class Space | 1,024.00MB | 0.00MB 
PS Survivor Space | 42.50MB | 42.50MB 
PS Old Gen | 683.00MB | 683.00MB 
Metaspace | -0.00MB | 0.00MB


2018-11-18 16:31:20.557 [main] INFO Engine - 
{
"content":[
{
"reader":{
"name":"mysqlreader",
"parameter":{
"connection":[
{
"jdbcUrl":[
"jdbc:mysql://bad_ip:3306/database",
"jdbc:mysql://127.0.0.1:bad_port/database",
"jdbc:mysql://192.168.1.123:3306/test"
],
"querySql":[
"select * from datax_test where id < 3;"
]
}
],
"password":"******",
"username":"root"
}
},
"writer":{
"name":"streamwriter",
"parameter":{
"encoding":"UTF-8",
"print":true
}
}
}
],
"setting":{
"speed":{
"channel":1
}
}
}

2018-11-18 16:31:20.609 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2018-11-18 16:31:20.612 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2018-11-18 16:31:20.613 [main] INFO JobContainer - DataX jobContainer starts job.
2018-11-18 16:31:20.618 [main] INFO JobContainer - Set jobId = 0
2018-11-18 16:31:21.140 [job-0] WARN DBUtil - test connection of [jdbc:mysql://bad_ip:3306/database] failed, for Code:[MYSQLErrCode-02], Description:[數據庫服務的IP地址或者Port錯誤，請檢查填寫的IP地址和Port或者聯系DBA確認IP地址和Port是否正確。如果是同步中心用戶請聯系DBA確認idb上錄入的IP和PORT信息和數據庫的當前實際信息是一致的]. - 具體錯誤信息為：com.mysql.jdbc.exceptions.jdbc4.CommunicationsException: Communications link failure

The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server..
2018-11-18 16:31:21.143 [job-0] WARN DBUtil - test connection of [jdbc:mysql://127.0.0.1:bad_port/database] failed, for Code:[DBUtilErrorCode-10], Description:[連接數據庫失敗. 請檢查您的 賬號、密碼、數據庫名稱、IP、Port或者向 DBA 尋求幫助(注意網絡環境).]. - 具體錯誤信息為：com.mysql.jdbc.exceptions.jdbc4.MySQLNonTransientConnectionException: Cannot load connection class because of underlying exception: 'java.lang.NumberFormatException: For input string: "bad_port"'..
2018-11-18 16:31:21.498 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true.
2018-11-18 16:31:21.512 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2018-11-18 16:31:21.518 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do prepare work .
2018-11-18 16:31:21.520 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do prepare work .
2018-11-18 16:31:21.521 [job-0] INFO JobContainer - jobContainer starts to do split ...
2018-11-18 16:31:21.524 [job-0] INFO JobContainer - Job set Channel-Number to 1 channels.
2018-11-18 16:31:21.546 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] splits to [1] tasks.
2018-11-18 16:31:21.548 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] splits to [1] tasks.
2018-11-18 16:31:21.587 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2018-11-18 16:31:21.592 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2018-11-18 16:31:21.597 [job-0] INFO JobContainer - Running by standalone Mode.
2018-11-18 16:31:21.629 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2018-11-18 16:31:21.639 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2018-11-18 16:31:21.639 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2018-11-18 16:31:21.658 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2018-11-18 16:31:21.667 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select * from datax_test where id < 3;
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:31:21.814 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select * from datax_test where id < 3;
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
1    test1
2    test2
2018-11-18 16:31:21.865 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[211]ms
2018-11-18 16:31:21.866 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2018-11-18 16:31:31.685 [job-0] INFO StandAloneJobContainerCommunicator - Total 2 records, 12 bytes | Speed 1B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2018-11-18 16:31:31.685 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2018-11-18 16:31:31.686 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do post work.
2018-11-18 16:31:31.687 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do post work.
2018-11-18 16:31:31.687 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2018-11-18 16:31:31.688 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /Users/FengZhen/Desktop/Hadoop/dataX/datax/hook
2018-11-18 16:31:31.693 [job-0] INFO JobContainer - 
[total cpu info] => 
averageCpu | maxDeltaCpu | minDeltaCpu 
-1.00% | -1.00% | -1.00%
[total gc info] => 
NAME | totalGCCount | maxDeltaGCCount | minDeltaGCCount | totalGCTime | maxDeltaGCTime | minDeltaGCTime 
PS MarkSweep | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s 
PS Scavenge | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s

2018-11-18 16:31:31.693 [job-0] INFO JobContainer - PerfTrace not enable!
2018-11-18 16:31:31.694 [job-0] INFO StandAloneJobContainerCommunicator - Total 2 records, 12 bytes | Speed 1B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2018-11-18 16:31:31.695 [job-0] INFO JobContainer - 
任務啟動時刻 : 2018-11-18 16:31:20
任務結束時刻 : 2018-11-18 16:31:31
任務總計耗時 : 11s
任務平均流量 : 1B/s
記錄寫入速度 : 0rec/s
讀出記錄總數 : 2
讀寫失敗總數 : 0

三、從MySQL讀取寫入MySQL

寫入MySQL簡介

MysqlWriter 插件實現了寫入數據到 Mysql 主庫的目的表的功能。在底層實現上， MysqlWriter 通過 JDBC 連接遠程 Mysql 數據庫，並執行相應的 insert into ... 或者 ( replace into ...) 的 sql 語句將數據寫入 Mysql，內部會分批次提交入庫，需要數據庫本身采用 innodb 引擎。

實現原理

MysqlWriter 通過 DataX 框架獲取 Reader 生成的協議數據，根據你配置的 writeMode 生成
insert into...(當主鍵/唯一性索引沖突時會寫不進去沖突的行)
或者
replace into...(沒有遇到主鍵/唯一性索引沖突時，與 insert into 行為一致，沖突時會用新行替換原有行所有字段) 的語句寫入數據到 Mysql。出於性能考慮，采用了 PreparedStatement + Batch，並且設置了：rewriteBatchedStatements=true，將數據緩沖到線程上下文 Buffer 中，當 Buffer 累計到預定閾值時，才發起寫入請求。

json如下

{
    "job": {
        "setting": {
            "speed": {
                "channel": 3
            },
            "errorLimit": {
                "record": 0,
                "percentage": 0.02
            }
        },
        "content": [{
            "reader": {
                "name": "mysqlreader",
                "parameter": {
                    "username": "root",
                    "password": "123456",
                    "column": [
                        "id",
                        "name"
                    ],
                    "splitPk": "id",
                    "connection": [{
                        "table": [
                            "datax_test"
                        ],
                        "jdbcUrl": [
                            "jdbc:mysql://192.168.1.123:3306/test"
                        ]
                    }]
                }
            },
            "writer": {
                "name": "mysqlwriter",
                "parameter": {
                    "writeMode": "insert",
                    "username": "root",
                    "password": "123456",
                    "column": [
                        "id",
                        "name"
                    ],
                    "session": [
                        "set session sql_mode='ANSI'"
                    ],
                    "preSql": [
                        "delete from datax_target_test"
                    ],
                    "connection": [{
                        "jdbcUrl": "jdbc:mysql://192.168.1.123:3306/test?useUnicode=true&characterEncoding=gbk",
                        "table": [
                            "datax_target_test"
                        ]
                    }]
                }
            }
        }]
    }
}

執行

FengZhendeMacBook-Pro:bin FengZhen$ ./datax.py /Users/FengZhen/Desktop/Hadoop/dataX/json/mysql/3.mysql2mysql.json

DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.


2018-11-18 16:49:13.176 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2018-11-18 16:49:13.189 [main] INFO Engine - the machine info =>

osInfo:    Oracle Corporation 1.8 25.162-b12
jvmInfo:    Mac OS X x86_64 10.13.4
cpu num:    4

totalPhysicalMemory:    -0.00G
freePhysicalMemory:    -0.00G
maxFileDescriptorCount:    -1
currentOpenFileDescriptorCount:    -1

GC Names    [PS MarkSweep, PS Scavenge]

MEMORY_NAME | allocation_size | init_size 
PS Eden Space | 256.00MB | 256.00MB 
Code Cache | 240.00MB | 2.44MB 
Compressed Class Space | 1,024.00MB | 0.00MB 
PS Survivor Space | 42.50MB | 42.50MB 
PS Old Gen | 683.00MB | 683.00MB 
Metaspace | -0.00MB | 0.00MB


2018-11-18 16:49:13.218 [main] INFO Engine - 
{
"content":[
{
"reader":{
"name":"mysqlreader",
"parameter":{
"column":[
"id",
"name"
],
"connection":[
{
"jdbcUrl":[
"jdbc:mysql://192.168.1.123:3306/test"
],
"table":[
"datax_test"
]
}
],
"password":"******",
"splitPk":"id",
"username":"root"
}
},
"writer":{
"name":"mysqlwriter",
"parameter":{
"column":[
"id",
"name"
],
"connection":[
{
"jdbcUrl":"jdbc:mysql://192.168.1.123:3306/test?useUnicode=true&characterEncoding=gbk",
"table":[
"datax_target_test"
]
}
],
"password":"******",
"preSql":[
"delete from datax_target_test"
],
"session":[
"set session sql_mode='ANSI'"
],
"username":"root",
"writeMode":"insert"
}
}
}
],
"setting":{
"errorLimit":{
"percentage":0.02,
"record":0
},
"speed":{
"channel":3
}
}
}

2018-11-18 16:49:13.268 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2018-11-18 16:49:13.271 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2018-11-18 16:49:13.272 [main] INFO JobContainer - DataX jobContainer starts job.
2018-11-18 16:49:13.280 [main] INFO JobContainer - Set jobId = 0
2018-11-18 16:49:13.991 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true.
2018-11-18 16:49:14.147 [job-0] INFO OriginalConfPretreatmentUtil - table:[datax_test] has columns:[id,name].
2018-11-18 16:49:14.567 [job-0] INFO OriginalConfPretreatmentUtil - table:[datax_target_test] all columns:[
id,name
].
2018-11-18 16:49:14.697 [job-0] INFO OriginalConfPretreatmentUtil - Write data [
insert INTO %s (id,name) VALUES(?,?)
], which jdbcUrl like:[jdbc:mysql://192.168.1.123:3306/test?useUnicode=true&characterEncoding=gbk&yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true]
2018-11-18 16:49:14.698 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2018-11-18 16:49:14.698 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do prepare work .
2018-11-18 16:49:14.699 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do prepare work .
2018-11-18 16:49:14.765 [job-0] INFO CommonRdbmsWriter$Job - Begin to execute preSqls:[delete from datax_target_test]. context info:jdbc:mysql://192.168.1.123:3306/test?useUnicode=true&characterEncoding=gbk&yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true.
2018-11-18 16:49:14.770 [job-0] INFO JobContainer - jobContainer starts to do split ...
2018-11-18 16:49:14.771 [job-0] INFO JobContainer - Job set Channel-Number to 3 channels.
2018-11-18 16:49:14.879 [job-0] INFO SingleTableSplitUtil - split pk [sql=SELECT MIN(id),MAX(id) FROM datax_test] is running... 
2018-11-18 16:49:14.926 [job-0] INFO SingleTableSplitUtil - After split(), allQuerySql=[
select id,name from datax_test where (1 <= id AND id < 2) 
select id,name from datax_test where (2 <= id AND id < 3) 
select id,name from datax_test where (3 <= id AND id < 4) 
select id,name from datax_test where (4 <= id AND id <= 5) 
select id,name from datax_test where id IS NULL
].
2018-11-18 16:49:14.926 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] splits to [5] tasks.
2018-11-18 16:49:14.928 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] splits to [5] tasks.
2018-11-18 16:49:14.974 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2018-11-18 16:49:14.991 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2018-11-18 16:49:14.995 [job-0] INFO JobContainer - Running by standalone Mode.
2018-11-18 16:49:15.011 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [3] channels for [5] tasks.
2018-11-18 16:49:15.022 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2018-11-18 16:49:15.022 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2018-11-18 16:49:15.041 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2018-11-18 16:49:15.052 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[1] attemptCount[1] is started
2018-11-18 16:49:15.052 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (1 <= id AND id < 2) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:15.052 [0-0-1-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (2 <= id AND id < 3) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:15.057 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[2] attemptCount[1] is started
2018-11-18 16:49:15.057 [0-0-2-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (3 <= id AND id < 4) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:15.175 [0-0-0-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:15.215 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (1 <= id AND id < 2) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:15.233 [0-0-2-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:19.387 [0-0-1-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:19.457 [0-0-2-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (3 <= id AND id < 4) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:19.575 [0-0-2-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:19.612 [0-0-1-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (2 <= id AND id < 3) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:19.687 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[2] is successed, used[4632]ms
2018-11-18 16:49:19.693 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[3] attemptCount[1] is started
2018-11-18 16:49:19.693 [0-0-0-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:19.696 [0-0-3-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where (4 <= id AND id <= 5) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:19.796 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[4761]ms
2018-11-18 16:49:19.799 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[4] attemptCount[1] is started
2018-11-18 16:49:19.799 [0-0-4-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select id,name from datax_test where id IS NULL
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:19.873 [0-0-3-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:19.882 [0-0-3-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where (4 <= id AND id <= 5) 
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:19.989 [0-0-1-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:20.000 [0-0-4-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select id,name from datax_test where id IS NULL
] jdbcUrl:[jdbc:mysql://192.168.1.123:3306/test?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true].
2018-11-18 16:49:20.074 [0-0-3-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:20.107 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[1] is successed, used[5055]ms
2018-11-18 16:49:20.142 [0-0-4-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:20.212 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[3] is successed, used[522]ms
2018-11-18 16:49:25.061 [job-0] INFO StandAloneJobContainerCommunicator - Total 0 records, 0 bytes | Speed 0B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 0.00%
2018-11-18 16:49:25.578 [0-0-4-writer] INFO DBUtil - execute sql:[set session sql_mode='ANSI']
2018-11-18 16:49:25.671 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[4] is successed, used[5872]ms
2018-11-18 16:49:25.671 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2018-11-18 16:49:35.064 [job-0] INFO StandAloneJobContainerCommunicator - Total 5 records, 30 bytes | Speed 3B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2018-11-18 16:49:35.064 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2018-11-18 16:49:35.065 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do post work.
2018-11-18 16:49:35.066 [job-0] INFO JobContainer - DataX Reader.Job [mysqlreader] do post work.
2018-11-18 16:49:35.067 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2018-11-18 16:49:35.068 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /Users/FengZhen/Desktop/Hadoop/dataX/datax/hook
2018-11-18 16:49:35.072 [job-0] INFO JobContainer - 
[total cpu info] => 
averageCpu | maxDeltaCpu | minDeltaCpu 
-1.00% | -1.00% | -1.00%
[total gc info] => 
NAME | totalGCCount | maxDeltaGCCount | minDeltaGCCount | totalGCTime | maxDeltaGCTime | minDeltaGCTime 
PS MarkSweep | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s 
PS Scavenge | 0 | 0 | 0 | 0.000s | 0.000s | 0.000s

2018-11-18 16:49:35.072 [job-0] INFO JobContainer - PerfTrace not enable!
2018-11-18 16:49:35.073 [job-0] INFO StandAloneJobContainerCommunicator - Total 5 records, 30 bytes | Speed 1B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2018-11-18 16:49:35.074 [job-0] INFO JobContainer - 
任務啟動時刻 : 2018-11-18 16:49:13
任務結束時刻 : 2018-11-18 16:49:35
任務總計耗時 : 21s
任務平均流量 : 1B/s
記錄寫入速度 : 0rec/s
讀出記錄總數 : 5
讀寫失敗總數 : 0

參數說明：
--jdbcUrl
描述：目的數據庫的 JDBC 連接信息。作業運行時，DataX 會在你提供的 jdbcUrl 后面追加如下屬性：yearIsDateType=false&zeroDateTimeBehavior=convertToNull&rewriteBatchedStatements=true
注意：1、在一個數據庫上只能配置一個 jdbcUrl 值。這與 MysqlReader 支持多個備庫探測不同，因為此處不支持同一個數據庫存在多個主庫的情況(雙主導入數據情況)
2、jdbcUrl按照Mysql官方規范，並可以填寫連接附加控制信息，比如想指定連接編碼為 gbk ，則在 jdbcUrl 后面追加屬性 useUnicode=true&characterEncoding=gbk。具體請參看 Mysql官方文檔或者咨詢對應 DBA。
必選：是
默認值：無
--username
描述：目的數據庫的用戶名
必選：是
默認值：無
--password
描述：目的數據庫的密碼
必選：是
默認值：無
--table
描述：目的表的表名稱。支持寫入一個或者多個表。當配置為多張表時，必須確保所有表結構保持一致。
注意：table 和 jdbcUrl 必須包含在 connection 配置單元中
必選：是
默認值：無
--column
描述：目的表需要寫入數據的字段,字段之間用英文逗號分隔。例如: "column": ["id","name","age"]。如果要依次寫入全部列，使用表示, 例如: "column": [""]。
**column配置項必須指定，不能留空！**

注意：1、我們強烈不推薦你這樣配置，因為當你目的表字段個數、類型等有改動時，你的任務可能運行不正確或者失敗
2、 column 不能配置任何常量值
必選：是
默認值：否
--session
描述: DataX在獲取Mysql連接時，執行session指定的SQL語句，修改當前connection session屬性
必須: 否
默認值: 空
--preSql
描述：寫入數據到目的表前，會先執行這里的標准語句。如果 Sql 中有你需要操作到的表名稱，請使用 @table 表示，這樣在實際執行 Sql 語句時，會對變量按照實際表名稱進行替換。比如你的任務是要寫入到目的端的100個同構分表(表名稱為:datax_00,datax01, ... datax_98,datax_99)，並且你希望導入數據前，先對表中數據進行刪除操作，那么你可以這樣配置："preSql":["delete from 表名"]，效果是：在執行到每個表寫入數據前，會先執行對應的 delete from 對應表名稱
必選：否
默認值：無
--postSql
描述：寫入數據到目的表后，會執行這里的標准語句。（原理同 preSql ）
必選：否
默認值：無
--writeMode
描述：控制寫入數據到目標表采用 insert into 或者 replace into 或者 ON DUPLICATE KEY UPDATE 語句
必選：是
所有選項：insert/replace/update
默認值：insert
--batchSize
描述：一次性批量提交的記錄數大小，該值可以極大減少DataX與Mysql的網絡交互次數，並提升整體吞吐量。但是該值設置過大可能會造成DataX運行進程OOM情況。
必選：否
默認值：1024
類型轉換
類似 MysqlReader ，目前 MysqlWriter 支持大部分 Mysql 類型，但也存在部分個別類型沒有支持的情況，請注意檢查你的類型。
下面列出 MysqlWriter 針對 Mysql 類型轉換列表:

bit類型目前是未定義類型轉換

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猜您在找 解決DataX支持Mysql 8的讀寫 DataX-HDFS(讀寫) datax 從mysql到mysql dataX同步數據到MySQL DataX支持mysql8.X 解讀Datax mysql reader配置 datax oracle到mysql數據抽取 datax 將csv數據導入mysql Datax 將Mysql數據導入ES 4 datax mysql 和hbase的相互導入

DataX-MySQL(讀寫)

DataX操作MySQL

一、 從MySQL讀取

介紹

實現原理

參數說明--jdbcUrl

二、從MySQL按條件讀取數據

三、從MySQL讀取寫入MySQL

寫入MySQL簡介

實現原理

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一、從MySQL讀取